iPad15,7
Geekbench AI Score
2934
Single Precision Score
3348
Half Precision Score
2880
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 11 2025 03:03 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| Model | iPad15,7 |
| Model ID | iPad15,7 |
| Motherboard | J481AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 5 Cores |
| Identifier | ARM |
| Base Frequency | 3.45 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 3 Cores |
| Memory Information | |
|---|---|
| Size | 5.78 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
697
129.6 IPS |
|
|
Image Classification (HP)
|
100% |
980
182.3 IPS |
|
|
Image Classification (Q)
|
96% |
472
88.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2404
39.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2325
37.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
2293
37.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
9439
11.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
10290
12.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
9750
11.4 IPS |
|
|
Object Detection (SP)
|
100% |
956
75.8 IPS |
|
|
Object Detection (HP)
|
100% |
955
75.7 IPS |
|
|
Object Detection (Q)
|
92% |
682
54.5 IPS |
|
|
Face Detection (SP)
|
100% |
4967
59.0 IPS |
|
|
Face Detection (HP)
|
100% |
5253
62.4 IPS |
|
|
Face Detection (Q)
|
100% |
4267
50.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
7189
55.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
6516
50.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
6150
48.0 IPS |
|
|
Style Transfer (SP)
|
100% |
17552
22.6 IPS |
|
|
Style Transfer (HP)
|
100% |
19575
25.2 IPS |
|
|
Style Transfer (Q)
|
96% |
18944
24.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2627
97.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2926
108.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2497
92.2 IPS |
|
|
Text Classification (SP)
|
100% |
2785
3.72 KIPS |
|
|
Text Classification (HP)
|
99% |
4790
6.39 KIPS |
|
|
Text Classification (Q)
|
93% |
4931
6.62 KIPS |
|
|
Machine Translation (SP)
|
100% |
683
11.8 IPS |
|
|
Machine Translation (HP)
|
100% |
842
14.5 IPS |
|
|
Machine Translation (Q)
|
98% |
892
15.4 IPS |
